English
Related papers

Related papers: Simultaneous Universal Pad\'e Approximation

200 papers

We consider row sequences of vector valued Pad\'{e}-Faber approximants (simultaneous Pad\'{e}-Faber approximants) and prove a Montessus de Ballore type theorem.

Complex Variables · Mathematics 2017-09-22 Nattapong Bosuwan

We study shallow and deep neural networks whose inputs range over a general topological space. The model is built from a prescribed family of continuous feature maps and reduces to multilayer feedforward networks in the Euclidean case. We…

General Topology · Mathematics 2026-03-24 Vugar Ismailov

We study the convergence of type I Hermite-Pad\'e approximation for a class of meromorphic functions obtained by adding a vector of rational functions with real coefficients to a Nikishin system of functions.

Complex Variables · Mathematics 2014-06-17 G. López Lagomasino , S. Medina Peralta

The paper has two relatively distinct but connected goals; the first is to define the notion of Pad\'e\ approximation of Weyl-Stiltjes transforms on an arbitrary compact Riemann surface of higher genus. The data consists of a contour in the…

Exactly Solvable and Integrable Systems · Physics 2021-08-10 Marco Bertola

Recently, Charpentier showed that there exist holomorphic functions $f$ in the unit disk such that, for any proper compact subset $K$ of the unit circle, any continuous function $\phi$ on $K$ and any compact subset $L$ of the unit disk,…

Complex Variables · Mathematics 2021-06-09 Konstantinos Maronikolakis

The universal approximation theorem is generalised to uniform convergence on the (noncompact) input space $\mathbb{R}^n$. All continuous functions that vanish at infinity can be uniformly approximated by neural networks with one hidden…

Machine Learning · Computer Science 2024-03-05 Teun D. H. van Nuland

Neural ODEs and i-ResNet are recently proposed methods for enforcing invertibility of residual neural models. Having a generic technique for constructing invertible models can open new avenues for advances in learning systems, but so far…

Machine Learning · Computer Science 2020-03-03 Han Zhang , Xi Gao , Jacob Unterman , Tom Arodz

We apply the technique of self-similar exponential approximants based on successive truncations of continued exponentials to reconstruct functional laws of the quasi-exponential class from the knowledge of only a few terms of their power…

Condensed Matter · Physics 2009-11-07 S. Gluzman , D. Sornette , V. I. Yukalov

We introduce a method for constructing global approximations to correlation functions of strongly interacting quantum field theories, starting from perturbative results. The key idea is to employ interpolation method, such as the two-point…

Strongly Correlated Electrons · Physics 2026-05-11 Yuanran Zhu , Yang Yu , Efekan Kökcü , Emanuel Gull , Chao Yang

Let a(z) be a meromorphic function having in the disk |z|<R precisely \lambda poles. In this work for the (\lambda-1)th row of the Pad\'e table of a(z) the set of uniform convergence is explicitly obtained. The present note is a supplement…

Numerical Analysis · Mathematics 2007-05-23 V. M. Adukov

Universal approximation theorems establish the expressive capacity of neural network architectures. For dynamical systems, existing results are limited to finite time horizons or systems with a globally stable equilibrium, leaving…

Dynamical Systems · Mathematics 2026-02-12 Abel Sagodi , Il Memming Park

We investigate the rational approximation of fractional powers of unbounded positive operators attainable with a specific integral representation of the operator function. We provide accurate error bounds by exploiting classical results in…

Numerical Analysis · Mathematics 2024-03-19 Lidia Aceto , Paolo Novati

Pad\'e approximation has two natural extensions to vector rational approximation through the so called type I and type II Hermite-Pad\'e approximants. The convergence properties of type II Hermite-Pad\'e approximants have been studied. For…

Complex Variables · Mathematics 2013-07-02 G. López Lagomasino , S. Medina Peralta

One of the theoretical pillars that sustain certain machine learning models are universal approximation theorems, which prove that they can approximate all functions from a function class to arbitrary precision. Independently, classical…

Disordered Systems and Neural Networks · Physics 2026-04-28 Tobias Reinhart , Gemma De les Coves

We describe generalizations of the universal approximation theorem for neural networks to maps invariant or equivariant with respect to linear representations of groups. Our goal is to establish network-like computational models that are…

Neural and Evolutionary Computing · Computer Science 2018-04-30 Dmitry Yarotsky

The Runge approximation theorem for holomorphic maps (U -> C) is a fundamental result in complex analysis. The aim of this article is to prove such a result for (pseudo-)holomorphic maps from a compact Riemann surface to a compact…

Symplectic Geometry · Mathematics 2021-01-05 Antoine Gournay

Reliable approximations for correlation functions at intermediate and strong coupling remain hard to obtain for general quantum field theories. Perturbative expansions are often asymptotic or have a finite radius of convergence, which…

High Energy Physics - Lattice · Physics 2026-05-11 Yuanran Zhu , Efekan Kökcü , Chao Yang

Given a vector function ${\bf F}=(F_1,\ldots,F_d),$ analytic on a neighborhood of some compact subset $E$ of the complex plane with simply connected complement, we define a sequence of vector rational functions with common denominator in…

Complex Variables · Mathematics 2018-01-10 N. Bosuwan , G. López Lagomasino

This paper complements the work done on simultaneous approximation results in classical Banach spaces, by focusing on approximation by finite Blaschke products. We prove the existence of a finite Blaschke product that approximates a…

Complex Variables · Mathematics 2025-11-11 Konstantinos Maronikolakis

We establish universal approximation theorems for infinite-dimensional geometric rough paths, i.e., we show that continuous functions on the space of infinite-dimensional weakly geometric H\"older continuous rough paths can be approximated…

Probability · Mathematics 2026-03-04 Sonja Cox , Asma Khedher , Thijs Maessen